The fuzzy argument is used to derive a trueness level from a numeric data link (either simple or calculated using a fuzzy curve. The value returned is completely dependent on the shape of the fuzzy curve.

The fuzzy argument is composed of any number of coordinate pairs which, in turn, define a fuzzy curve.

Whereas the crisp argument evaluates to only true, false, or undetermined; the fuzzy argument is less sensitive to minor changes in data and allows interpretting the data in graceful transitions (“shades of gray”) rather than abruptly (“black and white”).